Agentic
Not comparable- LFM2.5-1.2B-Instruct
- Not measured
- Nemotron Ultra 253B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Model comparison
LFM2.5-1.2B-Instruct vs Nemotron Ultra 253B
Updated July 28, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.
0 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. LFM2.5-1.2B-Instruct does not fit this workload in one request. Nemotron Ultra 253B does not fit this workload in one request. LFM2.5-1.2B-Instruct has no comparable published API token rate. Nemotron Ultra 253B has no comparable published API token rate.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. LFM2.5-1.2B-Instruct does not fit this workload in one request. Nemotron Ultra 253B does not fit this workload in one request. LFM2.5-1.2B-Instruct has no comparable published API token rate. Nemotron Ultra 253B has no comparable published API token rate.
Confidence: listed-rates
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
Evidence parity totals are not available.
- Shared results
- 0
- LFM2.5-1.2B-Instruct only
- 0
- Nemotron Ultra 253B only
- 0
- Like-for-like categories
- 0 / 8
Category results, on a stated basis
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
Coding
Not comparable- LFM2.5-1.2B-Instruct
- Not measured
- Nemotron Ultra 253B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Reasoning
Not comparable- LFM2.5-1.2B-Instruct
- Not measured
- Nemotron Ultra 253B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Knowledge
Not comparable- LFM2.5-1.2B-Instruct
- Not measured
- Nemotron Ultra 253B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- LFM2.5-1.2B-Instruct
- Not measured
- Nemotron Ultra 253B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- LFM2.5-1.2B-Instruct
- Not measured
- Nemotron Ultra 253B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- LFM2.5-1.2B-Instruct
- Not measured
- Nemotron Ultra 253B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- LFM2.5-1.2B-Instruct
- Not measured
- Nemotron Ultra 253B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
| Category | LFM2.5-1.2B-Instruct | Nemotron Ultra 253B | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Coding | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Knowledge | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- LFM2.5-1.2B-Instruct
- No hosted API token rate
- Fits in one request
- Nemotron Ultra 253B
- Self-hosted; infrastructure cost varies
- Fits in one request
LFM2.5-1.2B-Instruct has no comparable published API token rate. Nemotron Ultra 253B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- LFM2.5-1.2B-Instruct
- No hosted API token rate
- Does not fit in one request
- Nemotron Ultra 253B
- Self-hosted; infrastructure cost varies
- Does not fit in one request
LFM2.5-1.2B-Instruct does not fit this workload in one request. Nemotron Ultra 253B does not fit this workload in one request. LFM2.5-1.2B-Instruct has no comparable published API token rate. Nemotron Ultra 253B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- LFM2.5-1.2B-Instruct
- No hosted API token rate
- Does not fit in one request
- Cached-input rate unavailable
- Nemotron Ultra 253B
- Self-hosted; infrastructure cost varies
- Does not fit in one request
- Cached-input rate unavailable
LFM2.5-1.2B-Instruct does not fit this workload in one request. Nemotron Ultra 253B does not fit this workload in one request. LFM2.5-1.2B-Instruct has no comparable published API token rate. Nemotron Ultra 253B has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationLFM2.5-1.2B-InstructNemotron Ultra 253B
Context window
Maximum documented context; output-token limits may be lower.
LFM2.5-1.2B-Instruct
32K
Nemotron Ultra 253B
32K
API model ID
LFM2.5-1.2B-Instruct
Not sourced
Nemotron Ultra 253B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
LFM2.5-1.2B-Instruct
No comparable hosted API rate
Nemotron Ultra 253B
No comparable hosted API rate
Documented inputs
LFM2.5-1.2B-Instruct
Not sourced
Nemotron Ultra 253B
Not sourced
Documented outputs
LFM2.5-1.2B-Instruct
Not sourced
Nemotron Ultra 253B
Not sourced
Provider availability
LFM2.5-1.2B-Instruct
Not sourced
Nemotron Ultra 253B
Not sourced
Reasoning profile
LFM2.5-1.2B-Instruct
Non-Reasoning
Nemotron Ultra 253B
Reasoning
Weight access
LFM2.5-1.2B-Instruct
Proprietary
Nemotron Ultra 253B
Open Weight
License
LFM2.5-1.2B-Instruct
Proprietary
Nemotron Ultra 253B
Open Weight
Release date
LFM2.5-1.2B-Instruct
2026-03-01
Nemotron Ultra 253B
2026-02-01
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Both models list 32K.
Run the same representative tasks against both endpoints before changing production traffic.
Frequently asked questions
Which is better, LFM2.5-1.2B-Instruct or Nemotron Ultra 253B?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, LFM2.5-1.2B-Instruct or Nemotron Ultra 253B?
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
Which is better for agentic tasks, LFM2.5-1.2B-Instruct or Nemotron Ultra 253B?
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Which costs less, LFM2.5-1.2B-Instruct or Nemotron Ultra 253B?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, LFM2.5-1.2B-Instruct or Nemotron Ultra 253B?
Both models list the same context window, 32K.
Related comparisons
Last updated July 28, 2026
Keep the decision current
One weekly note on benchmark changes, pricing moves, and models worth re-testing.